AI Go-live Specialist

About this role

What you’ll do - Own onboarding outcomes against success metrics and customer KPIs (quality, reliability, time-to-value) - Execute the initial onboarding cycle using internal tools, then revisit and iterate to improve quality as new data and edge cases appear - Validate input data quality and flag issues early (camera angle, occlusion, anonymization, variance, missing detections) - Detect and document edge cases and SOP/process variance; grow a diverse dataset and keep it up to date - Communicate progress, metrics movement, and blockers clearly to stakeholders; propose concrete next steps - Improve the onboarding process over time: checklists, docs, templates, and suggestions for tool improvements based on real usage - Coordinate with installation teams to ensure camera setups support reliable onboarding and cross-station consistency You are 1.

2–5 years experience in a structured execution role (implementation, QA, solutions engineering, ops/industrial engineering, data ops, etc.) 2. Metrics-minded: you can define “good”, track it, and drive iteration until it improves 3. Detail-oriented and reliable with process execution (no skipped steps, good documentation hygiene) 4. Fast, concise communicator who escalates early and clearly 5. Strong ownership mindset: you drive onboarding to completion and keep improving it post go-live 6.

Comfortable with technical systems (ML depth not required, but you can reason about symptoms and inputs) 7. Manufacturing/process exposure is a strong plus #LI-Hybrid #LI-SP1 What we offer Employee Share Options Program for all permanent employees* An increasing benefits list: currently includes Urban Sports club and quarterly team retreats. Be on the forefront in defining what artificial intelligence means in manufacturing Gain hands-on experience in working in an AI-first software company Supportive and inclusive culture that values diversity and promotes the advancement of underrepresented groups within the company Collaborate with a diverse (currently more than 10 nationalities) and talented team, working on cutting-edge projects with real-world impact Network with professionals and leaders in the field, opening doors to potential future career opportunities We have a very flat hierarchy, open 360° feedback, and flexible working hours Ethics⚖: We are committed to developing ethical AI software Don't meet all the requirements? Almetra is committed to creating a workplace that is diverse, fair, and inclusive.